Personalizing a Weight Loss Program Using Cognitive-Behavioral Phenotypes to Improve Engagement and Weight Loss in Adults With Overweight or Obesity: Quasi-Experimental Study

Zusammenfassung

JMIR Form Res. 2025 Dec 1;9:e72645. doi: 10.2196/72645 Personalizing a Weight Loss Program Using Cognitive-Behavioral Phenotypes to Improve Engagement and Weight Loss in Adults With Overweight or Obesity: Quasi-Experimental Study Joanna Szypula Joanna Szypula, PhD 1School of Health and Psychological Science, City St George's, University of London, London, United Kingdom Find articles by Joanna Szypula 1,✉, Andreas Jarvstad Andreas Jarvstad, PhD 1School of Health and Psychological Science, City S

Kerninformationen

Tailoring interventions to cognitive-behavioral phenotypes, distinct patterns of thinking and behavior, offers one strategy to improve adherence. Although such approaches show promise in controlled settings, evidence from real-world digital programs is limited.Objective This study evaluated whether ...

While limited by a nonrandomized design, short follow-up, and reliance on self-reported weight, this study suggests phenotype-based tailoring may be a scalable strategy to strengthen adherence in digital weight loss interventions. Larger randomized trials with longer follow-up are warranted to deter...

Improving engagement is particularly important in digital settings, where high attrition can limit effectiveness [26]. In-app engagement is commonly used as a proxy for adherence, with more frequent interaction indicating greater engagement [20]. A recent analysis by Lehmann et al [18] found a signi...

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